A new graph-based retrieval-augmented generation system, EffiRAG, reduces the cost of graph construction and query processing in RAG systems while maintaining or improving answer quality. This affects AI agent developers by providing an alternative approach to traditional RAG systems, allowing them to consider cost-effectiveness in addition to answer quality when designing their agents.